Sex mechanisms as nonbinary influences on cognitive diversity.

Decision making Executive function Reward Sex differences Strategies

Journal

Hormones and behavior
ISSN: 1095-6867
Titre abrégé: Horm Behav
Pays: United States
ID NLM: 0217764

Informations de publication

Date de publication:
20 Apr 2024
Historique:
received: 31 10 2023
revised: 09 04 2024
accepted: 10 04 2024
medline: 22 4 2024
pubmed: 22 4 2024
entrez: 21 4 2024
Statut: aheadofprint

Résumé

Essentially all neuropsychiatric diagnoses show some degree of sex and/or gender differences in their etiology, diagnosis, or prognosis. As a result, the roles of sex-related variables in behavior and cognition are of strong interest to many, with several lines of research showing effects on executive functions and value-based decision making in particular. These findings are often framed within a sex binary, with behavior of females described as less optimal than male "defaults"-- a framing that pits males and females against each other and deemphasizes the enormous overlap in fundamental neural mechanisms across sexes. Here, we propose an alternative framework in which sex-related factors encompass just one subset of many sources of valuable diversity in cognition. First, we review literature establishing multidimensional, nonbinary impacts of factors related to sex chromosomes and endocrine mechanisms on cognition, focusing on value- based decision-making tasks. Next, we present two suggestions for nonbinary interpretations and analyses of sex-related data that can be implemented by behavioral neuroscientists without devoting laboratory resources to delving into mechanisms underlying sex differences. We recommend (1) shifting interpretations of behavior away from performance metrics and towards strategy assessments to avoid the fallacy that the performance of one sex is worse than another; and (2) asking how much variance sex explains in measures and whether any differences are mosaic rather than binary, to avoid assuming that sex differences in separate measures are inextricably correlated. Nonbinary frameworks in research on cognition will allow neuroscience to represent the full spectrum of brains and behaviors.

Identifiants

pubmed: 38643533
pii: S0018-506X(24)00069-2
doi: 10.1016/j.yhbeh.2024.105544
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105544

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Nicola M Grissom (NM)

Department of Psychology, University of Minnesota, United States of America. Electronic address: ngrissom@umn.edu.

Nic Glewwe (N)

Department of Psychology, University of Minnesota, United States of America.

Cathy Chen (C)

Department of Psychiatry and Behavioral Sciences, University of Minnesota, United States of America.

Erin Giglio (E)

Department of Psychology, University of Minnesota, United States of America.

Classifications MeSH